Academic literature on the topic 'Thermal time'
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Journal articles on the topic "Thermal time"
Skach, Matt, Manish Arora, Chang-Hong Hsu, Qi Li, Dean Tullsen, Lingjia Tang, and Jason Mars. "Thermal time shifting." ACM SIGARCH Computer Architecture News 43, no. 3S (January 4, 2016): 439–49. http://dx.doi.org/10.1145/2872887.2749474.
Full textShimokusu, Trevor J., Qing Zhu, Natan Rivera, and Geoff Wehmeyer. "Time-periodic thermal rectification in heterojunction thermal diodes." International Journal of Heat and Mass Transfer 182 (January 2022): 122035. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2021.122035.
Full textArora, D., M. Skliar, and R. B. Roemer. "Minimum-Time Thermal Dose Control of Thermal Therapies." IEEE Transactions on Biomedical Engineering 52, no. 2 (February 2005): 191–200. http://dx.doi.org/10.1109/tbme.2004.840471.
Full textdel Monte, J. P., P. L. Aguado, and A. M. Tarquis. "Thermal time model ofSolanum sarrachoidesgermination." Seed Science Research 24, no. 4 (September 16, 2014): 321–30. http://dx.doi.org/10.1017/s0960258514000221.
Full textEsman, R. D., and D. L. Rode. "Semiconductor‐laser thermal time constant." Journal of Applied Physics 59, no. 2 (January 15, 1986): 407–9. http://dx.doi.org/10.1063/1.336644.
Full textTRUDGILL, D. L., A. HONEK, D. LI, and N. M. STRAALEN. "Thermal time - concepts and utility." Annals of Applied Biology 146, no. 1 (January 2005): 1–14. http://dx.doi.org/10.1111/j.1744-7348.2005.04088.x.
Full textHüttner, Bernd. "Is thermal conductivity time-dependent?" physica status solidi (b) 245, no. 12 (December 2008): 2786–90. http://dx.doi.org/10.1002/pssb.200844182.
Full textBorghi, Claudio. "Physical Time and Thermal Clocks." Foundations of Physics 46, no. 10 (July 6, 2016): 1374–79. http://dx.doi.org/10.1007/s10701-016-0030-y.
Full textMarshalov, Е. D., A. N. Nikonorov, and I. K. Muravyov. "Determination of thermal response time of thermal resistance transducers." Vestnik IGEU, no. 3 (2017): 54–59. http://dx.doi.org/10.17588/2072-2672.2017.3.054-059.
Full textKhafizov, Marat, and David H. Hurley. "Measurement of thermal transport using time-resolved thermal wave microscopy." Journal of Applied Physics 110, no. 8 (October 15, 2011): 083525. http://dx.doi.org/10.1063/1.3653829.
Full textDissertations / Theses on the topic "Thermal time"
Feldgoise, Jeffrey. "Thermal design through space and time." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/65983.
Full textIncludes bibliographical references (p. 89-90).
One of the primary roles of architecture is to control the environment at the service of a building's inhabitants. Thermal qualities are a significant factor in the overall experience one has inside and outside a building. However, thermal issues are not often considered within the context of the architectural design process, resulting in buildings that are not responsive to thermal concerns. Heat has the potential to influence the form of architectural space. The methods by which architects can use thermal energy as a formative element in design is open to further exploration. In this thesis, I explore new methods for architects to describe thermal intentions and visualize thermal qualities of design proposals. Beyond the economic issue of energy conservation, the thermal qualities of building spaces affect the quality of human inhabitation. The capability to describe and visualize heat would allow architects to adjust the building's thermal characteristics to modify a person's experience of the place. With a more complete understanding of thermal qualities of their building proposals, architects would be able to design for the complete gamut of thermal sensations that humans can experience. What is needed is a working vocabulary that describes the range of thermal conditions possible in buildings. In this work, I describe a vocabulary for a building's thermal qualities using four sets of measurable, opposing terms: open versus protected, bright versus dim, warm versus cool, and active versus still. Next, I then articulate the thermal qualities of a co-housing project to create a thermal experience that enhances the community aspects of co-housing. Using a variety of visualization techniques, I verify that the design proposal is achieving the intended thermal goals. Using the knowledge gained from this and future thermal design exercises, we can begin to reflect on the general relationships between thermal phenomena and physical building forms, learning about the thermal qualities of architecture.
Jeffrey Feldgoise.
M.Arch.
Alshatshati, Salahaldin Faraj. "Estimating Envelope Thermal Characteristics from Single Point in Time Thermal Images." University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1512648630005333.
Full textMichiorri, Andrea. "Power system real-time thermal rating estimation." Thesis, Durham University, 2010. http://etheses.dur.ac.uk/469/.
Full textGaffney, Eamonn Andrew. "Aspects of imaginary time thermal field theory." Thesis, University of Cambridge, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627526.
Full textLeVett, Marshall Allan. "Parallel Time-Marching for Fluid-Thermal-Structural Interactions." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1452178897.
Full textBabich, Francesco. "Thermal comfort in non-uniform environments : real-time coupled CFD and human thermal regulation modelling." Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/32835.
Full textAcomb, Simon. "Applications of nonlinear dynamics to time dependent thermal convection." Thesis, University of Oxford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.305477.
Full textCosma, Andrei Claudiu. "Real-Time Individual Thermal Preferences Prediction Using Visual Sensors." Thesis, The George Washington University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=13422566.
Full textThe thermal comfort of a building’s occupants is an important aspect of building design. Providing an increased level of thermal comfort is critical given that humans spend the majority of the day indoors, and that their well-being, productivity, and comfort depend on the quality of these environments. In today’s world, Heating, Ventilation, and Air Conditioning (HVAC) systems deliver heated or cooled air based on a fixed operating point or target temperature; individuals or building managers are able to adjust this operating point through human communication of dissatisfaction. Currently, there is a lack in automatic detection of an individual’s thermal preferences in real-time, and the integration of these measurements in an HVAC system controller.
To achieve this, a non-invasive approach to automatically predict personal thermal comfort and the mean time to discomfort in real-time is proposed and studied in this thesis. The goal of this research is to explore the consequences of human body thermoregulation on skin temperature and tone as a means to predict thermal comfort. For this reason, the temperature information extracted from multiple local body parts, and the skin tone information extracted from the face will be investigated as a means to model individual thermal preferences.
In a first study, we proposed a real-time system for individual thermal preferences prediction in transient conditions using temperature values from multiple local body parts. The proposed solution consists of a novel visual sensing platform, which we called RGB-DT, that fused information from three sensors: a color camera, a depth sensor, and a thermographic camera. This platform was used to extract skin and clothing temperature from multiple local body parts in real-time. Using this method, personal thermal comfort was predicted with more than 80% accuracy, while mean time to warm discomfort was predicted with more than 85% accuracy.
In a second study, we introduced a new visual sensing platform and method that uses a single thermal image of the occupant to predict personal thermal comfort. We focused on close-up images of the occupant’s face to extract fine-grained details of the skin temperature. We extracted manually selected features, as well as a set of automated features. Results showed that the automated features outperformed the manual features in all the tests that were run, and that these features predicted personal thermal comfort with more than 76% accuracy.
The last proposed study analyzed the thermoregulation activity at the face level to predict skin temperature in the context of thermal comfort assessment. This solution uses a single color camera to model thermoregulation based on the side effects of the vasodilatation and vasoconstriction. To achieve this, new methods to isolate skin tone response to an individual’s thermal regulation were explored. The relation between the extracted skin tone measurement and the skin temperature was analyzed using a regression model.
Our experiments showed that a thermal model generated using noninvasive and contactless visual sensors could be used to accurately predict individual thermal preferences in real-time. Therefore, instantaneous feedback with respect to the occupants' thermal comfort can be provided to the HVAC system controller to adjust the room temperature.
Mackwood, Andrew. "Numerical simulations of thermal processes and welding." Thesis, University of Essex, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.272572.
Full textHuang, Huang. "Power and Thermal Aware Scheduling for Real-time Computing Systems." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/610.
Full textBooks on the topic "Thermal time"
Choy, Vanessa W. S. Real-time online fuzzy logic controller for laser interstitial thermal therapy. Ottawa: National Library of Canada, 2003.
Find full textB, Lakshminarayana, and United States. National Aeronautics and Space Administration., eds. Dynamic and thermal turbulent time scale modelling for homogeneous shear flows. [Washington, DC]: National Aeronautics and Space Administration, 1994.
Find full textS̆imunić, Dina. Thermal and stimutalting effects of time-varying magnetic fields during MRI. Aachen: Shaker, 1995.
Find full textBeggs, C. B. The use of ice thermal storage with real time electricity pricing. Leicester: De Montfort University, 1995.
Find full textWang, Weixun. Dynamic Reconfiguration in Real-Time Systems: Energy, Performance, and Thermal Perspectives. New York, NY: Springer New York, 2013.
Find full textB, Lakshminarayana, and United States. National Aeronautics and Space Administration., eds. Dynamic and thermal turbulent time scale modelling for homogeneous shear flows. [Washington, DC]: National Aeronautics and Space Administration, 1994.
Find full textLunardini, Virgil J. Permafrost formation time. [Hanover, N.H]: US Army Corps of Engineers, Cold Regions Research & Engineering Laboratory, 1995.
Find full textWheatley, C. J. CHARM, a model for aerosol behavior in time varying thermal-hydraulic conditions. Washington, DC: Division of Systems Research, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1988.
Find full textSimpson, William Turner. Heat sterilization time of Ponderosa pine and Douglas-fir boards and square timbers. Madison, Wis: U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 2003.
Find full textC, Öztürk Mehmet, Roozeboom Fred, Electrochemical Society Electronics Division, Electrochemical Society. Dielectric Science and Technology Division., Electrochemical Society. High Temperature Materials Division., and Electrochemical Society Meeting, eds. Advanced short-time thermal processing for Si-based CMOS devices II: Proceedings of the international symposium. Pennington, NJ: Electrochemical Society, 2004.
Find full textBook chapters on the topic "Thermal time"
Gooch, Jan W. "Thermal Death Time." In Encyclopedic Dictionary of Polymers, 928. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_14954.
Full textBulgariu, Emilian. "Backward in Time Problems." In Encyclopedia of Thermal Stresses, 337–44. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-2739-7_244.
Full textNaso, Maria Grazia. "Asymptotic Behavior in Time." In Encyclopedia of Thermal Stresses, 251–57. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-2739-7_531.
Full textLaine, Mikko, and Aleksi Vuorinen. "Real-Time Observables." In Basics of Thermal Field Theory, 147–96. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31933-9_8.
Full textZampoli, Vittorio. "Asymptotic Partition Backward in Time." In Encyclopedia of Thermal Stresses, 263–71. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-2739-7_532.
Full textTibullo, Vincenzo. "Spatial Behavior Backward in Time." In Encyclopedia of Thermal Stresses, 4505–11. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-2739-7_540.
Full textMasterson, Robert E. "Time-Dependent Nuclear Heat Transfer." In Nuclear Reactor Thermal Hydraulics, 461–84. Boca Raton : CRC Press, [2019]: CRC Press, 2019. http://dx.doi.org/10.1201/b22067-12.
Full textEhrenstein, Gottfried W., Gabriela Riedel, and Pia Trawiel. "Oxidative Induction Time/Temperature (OIT)." In Thermal Analysis of Plastics, 111–38. München: Carl Hanser Verlag GmbH & Co. KG, 2004. http://dx.doi.org/10.3139/9783446434141.002.
Full textHelerea, Elena, and Alfons Ifrim. "Thermal Life-Time for Bakelites." In Brittle Matrix Composites 3, 585–92. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3646-4_62.
Full textFavro, L. D., H. J. Jin, P. K. Kuo, R. L. Thomas, and Y. X. Wang. "Real Time Thermal Wave Tomography." In Photoacoustic and Photothermal Phenomena III, 519–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-540-47269-8_130.
Full textConference papers on the topic "Thermal time"
Skach, Matt, Manish Arora, Chang-Hong Hsu, Qi Li, Dean Tullsen, Lingjia Tang, and Jason Mars. "Thermal time shifting." In ISCA '15: The 42nd Annual International Symposium on Computer Architecture. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2749469.2749474.
Full textZhang, Shu, Xiaohong Liu, Nishi Ahuja, Yu Han, Liyin Liu, Shuiwang Liu, and Yeye Shen. "On demand cooling with real time thermal information." In 2015 31st Thermal Measurement, Modeling & Management Symposium (SEMI-THERM). IEEE, 2015. http://dx.doi.org/10.1109/semi-therm.2015.7100152.
Full textAhmadi, Mehran, Mohammad Fakoor Pakdaman, and Majid Bahrami. "Analytical investigation of thermal contact resistance (TCR) behavior under time-dependent thermal load." In 2016 32nd Thermal Measurement, Modeling & Management Symposium (SEMI-THERM). IEEE, 2016. http://dx.doi.org/10.1109/semi-therm.2016.7458440.
Full textSteinmetz, Jon, Subhash C. Patel, and Stanley E. Zocholl. "Stator thermal time constant." In 2013 IEEE/IAS 49th Industrial & Commercial Power Systems Technical Conference (I&CPS). IEEE, 2013. http://dx.doi.org/10.1109/icps.2013.6547350.
Full textBoglietti, Aldo, Enrico Carpaneto, Marco Cossale, and Alex Lucco Borlera. "Stator thermal model for short-time thermal transients." In 2014 International Conference on Electrical Machines (ICEM). IEEE, 2014. http://dx.doi.org/10.1109/icelmach.2014.6960367.
Full textKendig, Dustin, Eiji Yagyu, Kazuaki Yazawa, and Ali Shakouri. "Submicron local and time-dependent thermal resistance characterization of GaN HEMTs." In 2018 34th Thermal Measurement, Modeling & Management Symposium (SEMI-THERM). IEEE, 2018. http://dx.doi.org/10.1109/semi-therm.2018.8357369.
Full textSocolinsky, D. A., and A. Selinger. "Thermal face recognition over time." In Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. IEEE, 2004. http://dx.doi.org/10.1109/icpr.2004.1333735.
Full textXuefei Han and Yogendra Joshi. "Energy reduction in server cooling via real time thermal control." In 2012 IEEE/CPMT 28th Semiconductor Thermal Measurement & Management Symposium (SEMI-THERM). IEEE, 2012. http://dx.doi.org/10.1109/stherm.2012.6188829.
Full textMiskell, Kyle, Andrew N. Lemmon, and H. Bryan Owings. "On the Parametric Thermal Analysis of Emissive Heat Loss in Multi-Layer Vacuum-Enclosed Timing Systems." In Precise Time and Time Interval Systems and Applications Meeting. Institute of Navigation, 2016. http://dx.doi.org/10.33012/2016.13159.
Full textChauhan, Anjali, Bahgat Sammakia, and Kanad Ghose. "Transient power analysis to estimate the thermal time lag of a microprocessor hot spot." In 2015 31st Thermal Measurement, Modeling & Management Symposium (SEMI-THERM). IEEE, 2015. http://dx.doi.org/10.1109/semi-therm.2015.7100143.
Full textReports on the topic "Thermal time"
Socolinsky, Diego A., and Andrea Selinger. Thermal Face Recognition Over Time. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada444423.
Full textChristofferson, James, Daryoosh Vashaee, Ali Shakouri, and Philip Melese. Real Time Sub-Micron Thermal Imaging Using Thermoreflectance. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada461268.
Full textWiedmeier, Alisha, Ngozi Ezenagu, Vina Onyango-Robshaw, Alynie Walter, Viviana Montenegro Cortez, Rachel DuBose, Brittany Craig, et al. Balloon borne stratospheric night-time and day-time thermal wake differential temperature measurements. Ames (Iowa): Iowa State University. Library. Digital Press, January 2018. http://dx.doi.org/10.31274/ahac.11070.
Full textHsu, P., G. Hust, M. McClelland, and M. Gresshoff. One-Dimensional Time to Explosion (Thermal Sensitivity) of ANPZ. Office of Scientific and Technical Information (OSTI), November 2014. http://dx.doi.org/10.2172/1183545.
Full textHsu, P. C., G. Hust, M. McClelland, and M. Gressholf. One-Dimensional Time to Explosion (Thermal Sensitivity) of DMDNP. Office of Scientific and Technical Information (OSTI), November 2014. http://dx.doi.org/10.2172/1183560.
Full textWang, Xinwei, and David H. Hurley. In-pile Thermal Conductivity Characterization with Time Resolved Raman. Office of Scientific and Technical Information (OSTI), March 2018. http://dx.doi.org/10.2172/1427519.
Full textCOMPTON, J. A. Time and Temperature Test Results for PFP Thermal Stabilization Furnaces. Office of Scientific and Technical Information (OSTI), August 2000. http://dx.doi.org/10.2172/804505.
Full textCahill, David G. Thermal Conductivity of Novel Thermoelectric and Nanostructured Functional Materials by Time-Domain Thermoreflectance. Fort Belvoir, VA: Defense Technical Information Center, June 2010. http://dx.doi.org/10.21236/ada523273.
Full textDaryanian, B., R. D. Tabors, and R. E. Bohn. Automatic control of electric thermal storage (heat) under real-time pricing. Final report. Office of Scientific and Technical Information (OSTI), January 1995. http://dx.doi.org/10.2172/26391.
Full textDennis H. LeMieux. On-Line Thermal Barrier Coating Monitoring for Real-Time Failure Protection and Life Maximization. Office of Scientific and Technical Information (OSTI), October 2005. http://dx.doi.org/10.2172/883320.
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